Triple
T7869961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCNP Data Center |
E182712
|
entity |
| Predicate | validatesSkillIn |
P79457
|
FINISHED |
| Object | data center design |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: data center design | Statement: [CCNP Data Center, validatesSkillIn, data center design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: validatesSkillIn Context triple: [CCNP Data Center, validatesSkillIn, data center design]
-
A.
validatesSkill
Indicates that one entity confirms or verifies the authenticity, correctness, or adequacy of another entity’s skill or competency.
-
B.
requiresSkill
Indicates that performing or engaging in one entity (e.g., a task or role) depends on possessing or applying a specific skill represented by the other entity.
-
C.
skillAssessed
Indicates that an entity’s skill or competency has been evaluated or measured, typically by another agent or process.
-
D.
skillSet
Indicates that an entity possesses or is associated with a particular collection of skills or competencies.
-
E.
requiresSkillLevel
Indicates that performing or engaging in something depends on possessing at least a specified level of skill.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:55 p.m.